2D matrix array optimization by simulated annealing for 3D hepatic imaging

Bakary Diarra, Hervé Liebgott, Piero Tortoli, Christian Cachard

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    In this paper we present a preliminary study of a 2D sparse array design technique. The probe is intended to be suitable for needle tacking during hepatic biopsy and therapy applications. It can also be used in other micro-tools or internal organs operations. The probe is composed of 1024 elements (64x16). Due to this huge number of elements, the sparse array technique is used to reasonably reduce this number and to make possible its connection to the recent scanners. The simulated annealing algorithm permits to optimize elements coefficients and their positions to have a better beam pattern. The features of the probe must satisfy the geometrical constraints imposed by the targeted applications as well as some users defined imaging characteristics. Several simulations are made to know the acoustical characteristics of the array and its convenience to needle detection operations. Combining sparse array and optimization algorithm we reduce the initial element number to 267 with good imaging features: the sidelobes level is maintained to - 40 dB, the lateral main lobe width at -6 dB is 1.1 mm and the elevation main lobe width is 4.4 mm.

    Original languageEnglish
    Title of host publication2011 IEEE International Ultrasonics Symposium, IUS 2011
    Pages1595-1598
    Number of pages4
    DOIs
    Publication statusPublished - 2011
    Event2011 IEEE International Ultrasonics Symposium, IUS 2011 - Orlando, FL, United States
    Duration: Oct 18 2011Oct 21 2011

    Other

    Other2011 IEEE International Ultrasonics Symposium, IUS 2011
    CountryUnited States
    CityOrlando, FL
    Period10/18/1110/21/11

    Fingerprint

    simulated annealing
    optimization
    matrices
    needles
    lobes
    probes
    sidelobes
    organs
    scanners
    therapy
    coefficients
    simulation

    All Science Journal Classification (ASJC) codes

    • Acoustics and Ultrasonics

    Cite this

    Diarra, B., Liebgott, H., Tortoli, P., & Cachard, C. (2011). 2D matrix array optimization by simulated annealing for 3D hepatic imaging. In 2011 IEEE International Ultrasonics Symposium, IUS 2011 (pp. 1595-1598). [6293075] https://doi.org/10.1109/ULTSYM.2011.0396
    Diarra, Bakary ; Liebgott, Hervé ; Tortoli, Piero ; Cachard, Christian. / 2D matrix array optimization by simulated annealing for 3D hepatic imaging. 2011 IEEE International Ultrasonics Symposium, IUS 2011. 2011. pp. 1595-1598
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    Diarra, B, Liebgott, H, Tortoli, P & Cachard, C 2011, 2D matrix array optimization by simulated annealing for 3D hepatic imaging. in 2011 IEEE International Ultrasonics Symposium, IUS 2011., 6293075, pp. 1595-1598, 2011 IEEE International Ultrasonics Symposium, IUS 2011, Orlando, FL, United States, 10/18/11. https://doi.org/10.1109/ULTSYM.2011.0396

    2D matrix array optimization by simulated annealing for 3D hepatic imaging. / Diarra, Bakary; Liebgott, Hervé; Tortoli, Piero; Cachard, Christian.

    2011 IEEE International Ultrasonics Symposium, IUS 2011. 2011. p. 1595-1598 6293075.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Diarra B, Liebgott H, Tortoli P, Cachard C. 2D matrix array optimization by simulated annealing for 3D hepatic imaging. In 2011 IEEE International Ultrasonics Symposium, IUS 2011. 2011. p. 1595-1598. 6293075 https://doi.org/10.1109/ULTSYM.2011.0396